112 lines
2.9 KiB
Python
112 lines
2.9 KiB
Python
import os
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import random
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import psycopg
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from dotenv import load_dotenv
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from faker import Faker
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_ = load_dotenv()
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USERNAME = os.getenv("USERNAME")
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PASSWORD = os.getenv("PASSWORD")
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CONNSTR = (
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f"host=data.cs.jmu.edu port=5432 dbname=sec2 user={USERNAME} password={PASSWORD}"
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)
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fake = Faker()
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def make_releases() -> list[tuple[int, str, str, float, int]]:
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releases: list[tuple[int, str, str, float, int]] = []
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for i in range(0, 20):
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title = fake.bs()
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format = "CD"
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sample_rate = 44.1
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release_year = int(fake.year())
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releases.append((i, title, format, sample_rate, release_year))
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return releases
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def make_tracks() -> list[tuple[int, str, float, str, int]]:
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tracks: list[tuple[int, str, float, str, int]] = []
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for i in range(0, 20):
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title = fake.bs()
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duration_sec = random.uniform(0.0, 1200.0)
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track_artist = fake.name()
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release_id = random.randint(0, 19)
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tracks.append((i, title, duration_sec, track_artist, release_id))
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return make_tracks()
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def create_tables(cur: psycopg.Cursor):
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with psycopg.connect(CONNSTR) as conn:
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with conn.cursor() as cur:
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_ = cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS Release (
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id INTEGER PRIMARY KEY,
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title TEXT NOT NULL,
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format TEXT NOT NULL,
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sample_rate_khz REAL,
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release_year INTEGER NOT NULL
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)
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"""
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)
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_ = cur.execute(
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"""
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CREATE TABLE IF NOT EXISTS Track (
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id INTEGER PRIMARY KEY,
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title TEXT NOT NULL,
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duration_sec REAL NOT NULL,
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track_artist TEXT,
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release_id INTEGER,
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FOREIGN KEY (release_id) REFERENCES Release(id)
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)
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"""
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)
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conn.commit()
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def insert_table1():
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with psycopg.connect(CONNSTR) as conn:
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with conn.cursor() as cur:
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cur.executemany(
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"""
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INSERT INTO Release (id, title, format, sample_rate_khz, release_year)
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VALUES (%s, %s, %s, %s, %s)
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""",
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make_releases(),
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)
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conn.commit()
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def insert_table2():
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with psycopg.connect(CONNSTR) as conn:
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with conn.cursor() as cur:
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cur.executemany(
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"""
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INSERT INTO Track (id, title, duration_sec, track_artist, release_id)
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VALUES (%s, %s, %s, %s, %s)
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""",
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make_tracks(),
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)
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conn.commit()
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if __name__ == "__main__":
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# Connect to postgres and create a cursor
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with psycopg.connect(CONNSTR) as conn:
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with conn.cursor() as cur:
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create_tables(cur)
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